GlyphNet’s own results support this: their best CNN (VGG16 fine-tuned on rendered glyphs) achieved 63-67% accuracy on domain-level binary classification. Learned features do not dramatically outperform structural similarity for glyph comparison, and they introduce model versioning concerns and training corpus dependencies. For a dataset intended to feed into security policy, determinism and auditability matter more than marginal accuracy gains.
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（一）故意破坏、污损他人坟墓或者毁坏、丢弃他人尸骨、骨灰的；，更多细节参见爱思助手下载最新版本
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第六十八条 房屋出租人将房屋出租给身份不明、拒绝登记身份信息的人的，或者不按规定登记承租人姓名、有效身份证件种类和号码等信息的，处五百元以上一千元以下罚款；情节较轻的，处警告或者五百元以下罚款。
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